
AI Engineer
Posted May 23

Posted May 23
This is a fully remote position, open to applicants in India.
• Conceptualize and develop multi-agent frameworks utilizing LangGraph
• Create stateful, tool-enhanced agents proficient in reasoning, planning, and execution
• Formulate agent orchestration methodologies (planner-executor, supervisor, hierarchical agents)
• Implement memory architectures (short-term, long-term, contextual memory)
• Facilitate communication and coordination among agents
• Construct production-level LLM applications (RAG, agents, copilots)
• Integrate tools, APIs, and enterprise systems into agent operations
• Design effective prompting, routing, and safety measures
• Enhance workflows focusing on latency, cost efficiency, and quality
• Create reusable AI services, agent frameworks, and APIs
• Deploy agent-based solutions on AWS
• Utilize Docker and Kubernetes for scalable application deployment
• Implement monitoring and observability using LangSmith
• Assess agent performance based on reasoning quality and task completion
• Refine workflows through feedback loops and tracing
• Identify and resolve failure modes in multi-step processes
• Collaborate with product and engineering teams to establish agent-driven workflows
• Advise teams on optimal practices for agent design
• Contribute to the development of reusable patterns and frameworks
• Proven experience in building LLM-based systems (RAG, agents, copilots)
• Proficient in LangGraph / LangChain
• Experience with multi-agent systems
• Strong skills in Python and backend development
• Knowledge of agent design patterns, planning, memory, and tool utilization
• Familiarity with integrating APIs and enterprise systems
• Ability to troubleshoot multi-step reasoning pipelines
• Experience with AWS, Azure, or GCP
• Knowledge of Docker and Kubernetes
• Understanding of observability and performance enhancement
• Experience with AI gateways and model routing (preferred)
• Exposure to cost optimization and safety measures (preferred)
• Familiarity with real-time or event-driven systems (preferred)
• Competitive salary and comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative work environment with a focus on innovation
• Access to the latest tools and technologies in the field
Credo AI
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